1
|
Habibi MA, Rashidi F, Habibzadeh A, Mehrtabar E, Arshadi MR, Mirjani MS. Prediction of the treatment response and local failure of patients with brain metastasis treated with stereotactic radiosurgery using machine learning: A systematic review and meta-analysis. Neurosurg Rev 2024; 47:199. [PMID: 38684566 DOI: 10.1007/s10143-024-02391-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 04/01/2024] [Accepted: 04/07/2024] [Indexed: 05/02/2024]
Abstract
BACKGROUND Stereotactic radiosurgery (SRS) effectively treats brain metastases. It can provide local control, symptom relief, and improved survival rates, but it poses challenges in selecting optimal candidates, determining dose and fractionation, monitoring for toxicity, and integrating with other modalities. Practical tools to predict patient outcomes are also needed. Machine learning (ML) is currently used to predict treatment outcomes. We aim to investigate the accuracy of ML in predicting treatment response and local failure of brain metastasis treated with SRS. METHODS PubMed, Scopus, Web of Science (WoS), and Embase were searched until April 16th, which was repeated on October 17th, 2023 to find possible relevant papers. The study preparation adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline. The statistical analysis was performed by the MIDAS package of STATA v.17. RESULTS A total of 17 articles were reviewed, of which seven and eleven were related to the clinical use of ML in predicting local failure and treatment response. The ML algorithms showed sensitivity and specificity of 0.89 (95% CI: 0.84-0.93) and 0.87 (95% CI: 0.81-0.92) for predicting treatment response. The positive likelihood ratio was 7.1 (95% CI: 4.5-11.1), the negative likelihood ratio was 0.13 (95% CI: 0.08-0.19), and the diagnostic odds ratio was 56 (95% CI: 25-125). Moreover, the pooled estimates for sensitivity and specificity of ML algorithms for predicting local failure were 0.93 (95% CI: 0.76-0.98) and 0.80 (95% CI: 0.53-0.94). The positive likelihood ratio was 4.7 (95% CI: 1.6-14.0), the negative likelihood ratio was 0.09 (95% CI: 0.02-0.39), and the diagnostic odds ratio was 53 (95% CI: 5-606). CONCLUSION ML holds promise in predicting treatment response and local failure in brain metastasis patients receiving SRS. However, further studies and improvements in the treatment process can refine the models and effectively integrate them into clinical practice.
Collapse
Affiliation(s)
- Mohammad Amin Habibi
- Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
| | - Farhang Rashidi
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Adriana Habibzadeh
- Student Research Committee, Fasa University of Medical Sciences, Fasa, Iran
| | - Ehsan Mehrtabar
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Reza Arshadi
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Sina Mirjani
- Student Research Committee, Faculty of Medicine, Qom University of Medical Science, Qom, Iran
| |
Collapse
|
2
|
Christ SM, Borsky K, Kraft J, Frei S, Willmann J, Ahmadsei M, Kirchner C, Stark Schneebeli LS, Camilli F, Tanadini-Lang S, Rahman R, Aizer AA, Guckenberger M, Andratschke N, Mayinger M. External validation of three prognostic scores for brain metastasis velocity in patients treated with intracranial stereotactic radiotherapy. Radiother Oncol 2023; 189:109917. [PMID: 37741344 DOI: 10.1016/j.radonc.2023.109917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 08/18/2023] [Accepted: 09/15/2023] [Indexed: 09/25/2023]
Abstract
BACKGROUND AND INTRODUCTION Brain metastasis velocity (BMV) has been proposed as a prognostic factor for overall survival (OS) in patients with brain metastases (BMs). In this study, we conducted an external validation and comparative assessment of the performance of all three BMV scores. MATERIALS AND METHODS Patients treated with intracranial stereotactic radiotherapy (SRT) for BM at a single center between 2014 and 2018 were identified. Where possible, all three BMV scores were calculated. Log-rank tests and linear, logistic and Cox regression analysis were used for validation and predictor identification of OS. RESULTS For 333 of 384 brain metastasis patients, at least one BMV score could be calculated. In a sub-group of 187 patients, "classic" BMV was validated as categorical (p < 0.0001) and continuous variable (HR 1.02; 95% CI 1.02-1.03; p < 0.0001). In a sub-group of 284 patients, "initial" BMV was validated as categorical variable (high-risk vs. low-risk; p < 0.01), but not as continuous variable (HR 1.02; 95% CI 0.99-1.04; p = 0.224). "Volume-based" BMV could not be validated in a sub-group of 104 patients. On multivariable Cox regression analysis, iBMV (HR 1.85; 95% CI 1.01-3.38; p < 0.05) and cBMV (HR 2.32; 95% CI 1.15 4.68; p < 0.05) were predictors for OS for intermediate-risk patients after first SRT and first DBFs, respectively. cBMV proved to be the dominant predictor for OS for high-risk patients (HR 2.99; 95% CI 1.30-6.91; p < 0.05). CONCLUSION This study externally validated cBMV and iBMV as prognostic scores for OS in patients treated with SRT for BMs whereas validation of vBMV was not achieved.
Collapse
Affiliation(s)
- Sebastian M Christ
- Dept. of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland.
| | - Kim Borsky
- Faculty of Medicine, University of Zurich, Zurich, Switzerland
| | - Johannes Kraft
- Dept. of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland; Dept. of Radiation Oncology, University Hospital of Wuerzburg, University of Wuerzburg, Germany
| | - Simon Frei
- Faculty of Medicine, University of Zurich, Zurich, Switzerland
| | - Jonas Willmann
- Dept. of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland; Center for Proton Therapy, Paul Scherrer Institute, ETH Domain, Villigen, Switzerland
| | - Maiwand Ahmadsei
- Dept. of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Corinna Kirchner
- Dept. of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | | | - Federico Camilli
- Dept. of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland; Radiation Oncology Section, University of Perugia, Perugia, Italy
| | - Stephanie Tanadini-Lang
- Dept. of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Rifaquat Rahman
- Dept. of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Ayal A Aizer
- Dept. of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Matthias Guckenberger
- Dept. of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Nicolaus Andratschke
- Dept. of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Michael Mayinger
- Dept. of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| |
Collapse
|
3
|
Carpenter DJ, Leng J, Arshad M, Giles W, Kirkpatrick JP, Floyd SR, Chmura SJ, Salama JK, Hong JC. Intracranial and Extracranial Progression and Their Correlation With Overall Survival After Stereotactic Radiosurgery in a Multi-institutional Cohort With Brain Metastases. JAMA Netw Open 2023; 6:e2310117. [PMID: 37099292 PMCID: PMC10134007 DOI: 10.1001/jamanetworkopen.2023.10117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 03/13/2023] [Indexed: 04/27/2023] Open
Abstract
Importance Clinical trials for metastatic malignant neoplasms are increasingly being extended to patients with brain metastases. Despite the preeminence of progression-free survival (PFS) as a primary oncologic end point, the correlation of intracranial progression (ICP) and extracranial progression (ECP) events with overall survival (OS) is poorly understood for patients with brain metastases following stereotactic radiosurgery (SRS). Objective To determine the correlation of ICP and ECP with OS among patients with brain metastases completing an initial SRS course. Design, Setting, and Participants This multi-institutional retrospective cohort study was conducted from January 1, 2015, to December 31, 2020. We included patients who completed an initial course of SRS for brain metastases during the study period, including receipt of single and/or multifraction SRS, prior whole-brain radiotherapy, and brain metastasis resection. Data analysis was performed on November 15, 2022. Exposures Non-OS end points included intracranial PFS, extracranial PFS, PFS, time to ICP, time to ECP, and any time to progression. Progression events were radiologically defined, incorporating multidisciplinary clinical consensus. Main Outcomes and Measures The primary outcome was correlation of surrogate end points to OS. Clinical end points were estimated from time of SRS completion via the Kaplan-Meier method, while end-point correlation to OS was measured using normal scores rank correlation with the iterative multiple imputation approach. Results This study included 1383 patients, with a mean age of 63.1 years (range, 20.9-92.8 years) and a median follow-up of 8.72 months (IQR, 3.25-19.68 months). The majority of participants were White (1032 [75%]), and more than half (758 [55%]) were women. Common primary tumor sites included the lung (757 [55%]), breast (203 [15%]), and skin (melanoma; 100 [7%]). Intracranial progression was observed in 698 patients (50%), preceding 492 of 1000 observed deaths (49%). Extracranial progression was observed in 800 patients (58%), preceding 627 of 1000 observed deaths (63%). Irrespective of deaths, 482 patients (35%) experienced both ICP and ECP, 534 (39%) experienced ICP (216 [16%]) or ECP (318 [23%]), and 367 (27%) experienced neither. The median OS was 9.93 months (95% CI, 9.08-11.05 months). Intracranial PFS had the highest correlation with OS (ρ = 0.84 [95% CI, 0.82-0.85]; median, 4.39 months [95% CI, 4.02-4.92 months]). Time to ICP had the lowest correlation with OS (ρ = 0.42 [95% CI, 0.34-0.50]) and the longest median time to event (median, 8.76 months [95% CI, 7.70-9.48 months]). Across specific primary tumor types, correlations of intracranial PFS and extracranial PFS with OS were consistently high despite corresponding differences in median outcome durations. Conclusions and Relevance The results of this cohort study of patients with brain metastases completing SRS suggest that intracranial PFS, extracranial PFS, and PFS had the highest correlations with OS and time to ICP had the lowest correlation with OS. These data may inform future patient inclusion and end-point selection for clinical trials.
Collapse
Affiliation(s)
- David J. Carpenter
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Jim Leng
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Muzamil Arshad
- Department of Radiation Oncology, University of Chicago Medical Center, Chicago, Illinois
| | - Will Giles
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - John P. Kirkpatrick
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Scott R. Floyd
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Steven J. Chmura
- Department of Radiation Oncology, University of Chicago Medical Center, Chicago, Illinois
| | - Joseph K. Salama
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
- Radiation Oncology Clinical Service, Durham Veterans Affairs Health Care System, Durham, North Carolina
| | - Julian C. Hong
- Department of Radiation Oncology, University of California, San Francisco
- Bakar Computational Health Sciences Institute, University of California, San Francisco
- Joint Program in Computational Precision Health, University of California, San Francisco, and University of California, Berkeley
| |
Collapse
|
4
|
Open Source Repository and Online Calculator of Prediction Models for Diagnosis and Prognosis in Oncology. Biomedicines 2022; 10:biomedicines10112679. [DOI: 10.3390/biomedicines10112679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 10/18/2022] [Accepted: 10/20/2022] [Indexed: 11/16/2022] Open
Abstract
(1) Background: The main aim was to develop a prototype application that would serve as an open-source repository for a curated subset of predictive and prognostic models regarding oncology, and provide a user-friendly interface for the included models to allow online calculation. The focus of the application is on providing physicians and health professionals with patient-specific information regarding treatment plans, survival rates, and side effects for different expected treatments. (2) Methods: The primarily used models were the ones developed by our research group in the past. This selection was completed by a number of models, addressing the same cancer types but focusing on other outcomes that were selected based on a literature search in PubMed and Medline databases. All selected models were publicly available and had been validated TRIPOD (Transparent Reporting of studies on prediction models for Individual Prognosis Or Diagnosis) type 3 or 2b. (3) Results: The open source repository currently incorporates 18 models from different research groups, evaluated on datasets from different countries. Model types included logistic regression, Cox regression, and recursive partition analysis (decision trees). (4) Conclusions: An application was developed to enable physicians to complement their clinical judgment with user-friendly patient-specific predictions using models that have received internal/external validation. Additionally, this platform enables researchers to display their work, enhancing the use and exposure of their models.
Collapse
|
5
|
Prognostic Model for Intracranial Progression after Stereotactic Radiosurgery: A Multicenter Validation Study. Cancers (Basel) 2022; 14:cancers14215186. [PMID: 36358606 PMCID: PMC9657742 DOI: 10.3390/cancers14215186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/11/2022] [Accepted: 10/14/2022] [Indexed: 11/17/2022] Open
Abstract
Stereotactic radiosurgery (SRS) is a standard of care for many patients with brain metastases. To optimize post-SRS surveillance, this study aimed to validate a previously published nomogram predicting post-SRS intracranial progression (IP). We identified consecutive patients completing an initial course of SRS across two institutions between July 2017 and December 2020. Patients were classified as low- or high-risk for post-SRS IP per a previously published nomogram. Overall survival (OS) and freedom from IP (FFIP) were assessed via the Kaplan−Meier method. Assessment of parameters impacting FFIP was performed with univariable and multivariable Cox proportional hazard models. Among 890 patients, median follow-up was 9.8 months (95% CI 9.1−11.2 months). In total, 47% had NSCLC primary tumors, and 47% had oligometastatic disease (defined as ≤5 metastastic foci) at the time of SRS. Per the IP nomogram, 53% of patients were deemed high-risk. For low- and high-risk patients, median FFIP was 13.9 months (95% CI 11.1−17.1 months) and 7.6 months (95% CI 6.4−9.3 months), respectively, and FFIP was superior in low-risk patients (p < 0.0001). This large multisite BM cohort supports the use of an IP nomogram as a quick and simple means of stratifying patients into low- and high-risk groups for post-SRS IP.
Collapse
|
6
|
Kutuk T, Abrams KJ, Tom MC, Rubens M, Appel H, Sidani C, Hall MD, Tolakanahalli R, Wieczorek DJJ, Gutierrez AN, McDermott MW, Ahluwalia MS, Mehta MP, Kotecha R. Dedicated isotropic 3-D T1 SPACE sequence imaging for radiosurgery planning improves brain metastases detection and reduces the risk of intracranial relapse. Radiother Oncol 2022; 173:84-92. [PMID: 35662657 DOI: 10.1016/j.radonc.2022.05.029] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 05/11/2022] [Accepted: 05/27/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Stereotactic radiosurgery (SRS) is increasingly used for brain metastases (BM) patients, but distant intracranial failure (DIF) remains the principal disadvantage of this focal therapeutic approach. The objective of this study was to determine if dedicated SRS imaging would improve lesion detection and reduce DIF. METHODS Between 02/2020 and 01/2021, SRS patients at a tertiary care institution underwent dedicated treatment planning MRIs of the brain including MPRAGE and SPACE post-contrast sequences. DIF was calculated using the Kaplan-Meier method; comparisons were made to a historical consecutive cohort treated using MPRAGE alone (02/2019-01/2020). RESULTS 134 patients underwent 171 SRS courses for 821 BM imaged with both MPRAGE and SPACE (primary cohort). MPRAGE sequence evaluation alone detected 679 lesions. With neuroradiologists evaluating SPACE and MPRAGE, an additional 108 lesions were identified (p<0.001). Upon multidisciplinary review, 34 additional lesions were identified. Compared to the historical cohort (103 patients, 135 SRS courses, 479 BM), the primary cohort had improved median time to DIF (13.5 vs. 5.1 months, p=0.004). The benefit was even more pronounced for patients treated for their first SRS course (18.4 vs. 6.3 months, p=0.001). SRS using MPRAGE and SPACE was associated with a 60% reduction in risk of DIF compared to the historical cohort (HR: 0.40; 95%CI: 0.28-0.57, p<0.001). CONCLUSIONS Among BM patients treated with SRS, a treatment planning SPACE sequence in addition to MPRAGE substantially improved lesion detection and was associated with a statistically significant and clinically meaningful prolongation in time to DIF, especially for patients undergoing their first SRS course.
Collapse
Affiliation(s)
- Tugce Kutuk
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, 33176, United States.
| | - Kevin J Abrams
- Department of Radiology, Baptist Health South Florida, Miami, FL, 33176, United States
| | - Martin C Tom
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, 33176, United States; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, 33199, United States
| | - Muni Rubens
- Department of Clinical Informatics, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, 33176, United States.
| | - Haley Appel
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, 33176, United States
| | - Charif Sidani
- Department of Radiology, Baptist Health South Florida, Miami, FL, 33176, United States
| | - Matthew D Hall
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, 33176, United States; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, 33199, United States
| | - Ranjini Tolakanahalli
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, 33176, United States; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, 33199, United States
| | - D Jay J Wieczorek
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, 33176, United States; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, 33199, United States
| | - Alonso N Gutierrez
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, 33176, United States; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, 33199, United States
| | - Michael W McDermott
- Department of Neurosurgery, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, 33176 United States; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, 33199, United States
| | - Manmeet S Ahluwalia
- Department of Medical Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, 33176, United States
| | - Minesh P Mehta
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, 33176, United States; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, 33199, United States
| | - Rupesh Kotecha
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, 33176, United States; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, 33199, United States; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, 33199, United States.
| |
Collapse
|
7
|
Chang X, Chen J, Zhang W, Yang J, Yu S, Deng W, Ni W, Zhou Z, Chen D, Feng Q, Lv J, Liang J, Hui Z, Wang L, Lin Y, Chen X, Xue Q, Mao Y, Gao Y, Wang D, Feng F, Gao S, He J, Xiao Z. Recurrence risk stratification based on a competing-risks nomogram to identify patients with esophageal cancer who may benefit from postoperative radiotherapy. Ther Adv Med Oncol 2021; 13:17588359211061948. [PMID: 34987617 PMCID: PMC8721393 DOI: 10.1177/17588359211061948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 11/02/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND A reliable model is needed to estimate the risk of postoperative recurrence and the benefits of postoperative radiotherapy (PORT) in patients with thoracic esophageal squamous cell cancer (TESCC). METHODS The study retrospectively reviewed 3652 TESCC patients in stage IB-IVA after radical esophagectomy, with or without PORT. In one institution as the training cohort (n = 1620), independent risk factors associated with locoregional recurrence (LRR), identified by the competing-risks regression, were used to establish a predicting nomogram, which was validated in an external cohort (n = 1048). Area under curve (AUC) values of receiver operating characteristic curves were calculated to evaluate discrimination. Risk stratification was conducted using a decision tree analysis based on the cumulative point score of the LRR nomogram. After balancing the baseline of characteristics between treatment groups by inverse probability of treatment weighting, the effect of PORT was evaluated in each risk group. RESULTS Sex, age, tumor location, tumor grade, and N category were identified as independent risk factors for LRR and added into the nomogram. The AUC values were 0.638 and 0.706 in the training and validation cohorts, respectively. Three risk groups were established. For patients in the intermediate- and high-risk groups, PORT significantly improved the 5-year overall survival by 10.2% and 9.4%, respectively (p < 0.05). Although PORT was significantly associated with reduced LRR in the low-risk group, overall survival was not improved. CONCLUSION The nomogram can effectively estimate the individual risk of LRR, and patients in the intermediate- and high-risk groups are highly recommended to undergo PORT.
Collapse
Affiliation(s)
- Xiao Chang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021 China
| | - Junqiang Chen
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China
| | - Wencheng Zhang
- Department of Radiation Oncology and Key Laboratory of Cancer Prevention Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
| | - Jinsong Yang
- Department of Radiation Oncology, Union Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Shufei Yu
- Department of Radiation Oncology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Wei Deng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Wenjie Ni
- Department of Radiation Oncology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Zongmei Zhou
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021 China
| | - Dongfu Chen
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021 China
| | - Qinfu Feng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021 China
| | - Jima Lv
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021 China
| | - Jun Liang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021 China
| | - Zhouguang Hui
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021 China
| | - Lvhua Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021 China
| | - Yu Lin
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China
| | - Xiaohui Chen
- Department of Thoracic Surgery, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China
| | - Qi Xue
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yousheng Mao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yushun Gao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dali Wang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Feiyue Feng
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shugeng Gao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie He
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 17 South Panjiayuan Lane, Beijing, 100021 China
| | - Zefen Xiao
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 17 South Panjiayuan Lane, Beijing 100021, 100021 China
| |
Collapse
|
8
|
Jiang X. Identification of Patients with Brain Metastases with Favorable Prognosis After Local and Distant Recurrence Following Stereotactic Radiosurgery. Cancer Manag Res 2020; 12:4139-4149. [PMID: 32581585 PMCID: PMC7276324 DOI: 10.2147/cmar.s251285] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 05/13/2020] [Indexed: 12/25/2022] Open
Abstract
Purpose This retrospective study aimed to determine the prognostic factors associated with overall survival after intracranial local and distant recurrence in patients undergoing stereotactic radiosurgery (SRS) for brain metastases. Patients and Methods Clinical characteristics and therapeutic parameters of 251 patients, who were treated with initial stereotactic radiosurgery for brain metastases and later experienced intracranial recurrence, were analyzed to identify prognostic factors of post-recurrence overall survival (PROS). A Cox proportional hazard model was applied for univariate and multivariate analyses. Results Among the 251 patients, the median post-recurrence overall survival was 8 months, and the six-month PROS rate was 60.2%. The interval from initial radiosurgery treatment to intracranial recurrence (hazard ratio [HR]:0.970), the number of brain recurrent tumors (HR:1.245), the number of extracranial metastatic organs (HR:1.183), recursive partition analysis (RPA) (HR:1.778), and Eastern Cooperative Oncology Group Performance Status (ECOG PS) (HR:2.442) were identified as independent prognostic factors. The patients who received local treatment for solitary brain recurrence achieved better survival (the median survival time after recurrence was 22 months). In patients without extracranial metastasis, the median post-recurrence overall survival of the local treatment group was longer than that in the whole brain radiation therapy (WBRT) group (P<0.001) and the systemic therapy group (P<0.001). Conclusion A shorter interval from initial stereotactic radiosurgery to recurrence, an increasing number of brain recurrences and extracranial metastatic organs, and poor RPA and ECOG PS values are associated with poor post-recurrence prognosis. When the number of brain recurrent tumors and extracranial metastatic organs was limited, local treatment including stereotactic radiosurgery, surgery or intensity-modulated radiation therapy (IMRT) improved the post-recurrence overall survival.
Collapse
Affiliation(s)
- Xuechao Jiang
- Department of Radiation Oncology, Binzhou Center Hospital Affiliated to Binzhou Medical College, Binzhou, Shandong, People's Republic of China
| |
Collapse
|
9
|
Shetty V, Babu S. Management of CNS metastases in patients with EGFR mutation-positive NSCLC. Indian J Cancer 2020; 56:S31-S37. [PMID: 31793440 DOI: 10.4103/ijc.ijc_455_19] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Central nervous system (CNS) metastases are a frequent and severe complication associated with epidermal growth factor receptor (EGFR)-mutated non-small cell lung cancer (NSCLC). The first- and second-generation EGFR tyrosine kinase inhibitors (TKIs) have shown considerable efficacy in EGFR-mutated NSCLC. However, their limited potential to cross the blood-brain barrier (BBB) renders them less effective in the management of CNS metastases in NSCLC. Osimertinib, a third-generation irreversible EGFR-TKI with good potential to cross the BBB, has shown significant clinical activity and acceptable safety profile in patients with EGFR-positive NSCLC brain and leptomeningeal metastases. The progression-free survival (PFS) of up to 15.2 months in CNS metastases patients in the FLAURA trial and the CNS objective response rates (ORRs) of 54% and 43% in the AURA/AURA2 and BLOOM trials, respectively, have established the role of osimertinib in patients with NSCLC with CNS metastases. The AURA3 trial also reported a PFS of 8.5 months and overall ORR of 71%. These data have supported osimertinib to be recognized as a "preferred" first-line treatment for EGFR-positive metastatic NSCLC by the National Comprehensive Cancer Network (NCCN). With limited treatment options available, upfront administration of osimertinib in patients with NSCLC irrespective of EGFR T790M and CNS metastases may improve the overall response rate and potentially reduce the adverse effects of radiotherapy. Our review focuses on the management of EGFR-mutated NSCLC CNS metastases in the context of recent NCCN guidelines.
Collapse
Affiliation(s)
- Vijith Shetty
- Department of Medical Oncology, K.S. Hegde Medical Academy, Mangalore, Karnataka, India
| | - Suresh Babu
- Medical Oncologist, Kidwai Memorial Institute of Oncology, Bangalore, Karnataka, India
| |
Collapse
|
10
|
Hsu CY, Xiao F, Liu KL, Chen TL, Lee YC, Wang W. Radiomic analysis of magnetic resonance imaging predicts brain metastases velocity and clinical outcome after upfront radiosurgery. Neurooncol Adv 2020; 2:vdaa100. [PMID: 33817641 PMCID: PMC8008166 DOI: 10.1093/noajnl/vdaa100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Background Brain metastasis velocity (BMV) predicts outcomes after initial distant brain failure (DBF) following upfront stereotactic radiosurgery (SRS). We developed an integrated model of clinical predictors and pre-SRS MRI-derived radiomic scores (R-scores) to identify high-BMV (BMV-H) patients upon initial identification of brain metastases (BMs). Methods In total, 256 patients with BMs treated with upfront SRS alone were retrospectively included. R-scores were built from 1246 radiomic features in 2 target volumes by using the Extreme Gradient Boosting algorithm to predict BMV-H groups, as defined by BMV at least 4 or leptomeningeal disease at first DBF. Two R-scores and 3 clinical predictors were integrated into a predictive clinico-radiomic (CR) model. Results The related R-scores showed significant differences between BMV-H and low BMV (BMV-L), as defined by BMV less than 4 or no DBF (P < .001). Regression analysis identified BMs number, perilesional edema, and extracranial progression as significant predictors. The CR model using these 5 predictors achieved a bootstrapping corrected C-index of 0.842 and 0.832 in the discovery and test sets, respectively. Overall survival (OS) after first DBF was significantly different between the CR-predicted BMV-L and BMV-H groups (median OS: 26.7 vs 13.0 months, P = .016). Among patients with a diagnosis-specific graded prognostic assessment of 1.5–2 or 2.5–4, the median OS after initial SRS was 33.8 and 67.8 months for CR-predicted BMV-L, compared to 13.5 and 31.0 months for CR-predicted BMV-H (P < .001 and <.001), respectively. Conclusion Our CR model provides a novel approach showing good performance to predict BMV and clinical outcomes.
Collapse
Affiliation(s)
- Che-Yu Hsu
- Division of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan
- National Taiwan University Cancer Center, Taipei, Taiwan
- Graduate Program of Data Science, National Taiwan University and Academia Sinica, Taipei, Taiwan
- Corresponding Authors: Weichung Wang, PhD, Institute of Applied Mathematical Sciences, National Taiwan University, No.1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan (); Che-Yu Hsu, MD, Division of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, No. 7, Chung-Shan South Rd, Taipei 100, Taiwan ()
| | - Furen Xiao
- Department of Neurosurgery, National Taiwan University Hospital, Taipei, Taiwan
| | - Kao-Lang Liu
- Department of Medical Imaging, National Taiwan University Cancer Center, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Ting-Li Chen
- Graduate Program of Data Science, National Taiwan University and Academia Sinica, Taipei, Taiwan
- Institute of Statistical Science, Academia Sinica, Taipei, Taiwan
| | - Yueh-Chou Lee
- Department of Mathematics, National Taiwan University, Taipei, Taiwan
| | - Weichung Wang
- Graduate Program of Data Science, National Taiwan University and Academia Sinica, Taipei, Taiwan
- Institute of Applied Mathematical Sciences, National Taiwan University, Taipei, Taiwan
- Corresponding Authors: Weichung Wang, PhD, Institute of Applied Mathematical Sciences, National Taiwan University, No.1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan (); Che-Yu Hsu, MD, Division of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, No. 7, Chung-Shan South Rd, Taipei 100, Taiwan ()
| |
Collapse
|
11
|
The Impact of Surgery on Long-Term Survival of Patients with Primary Gastric Diffuse Large B-Cell Lymphoma: A SEER Population-Based Study. Gastroenterol Res Pract 2019; 2019:9683298. [PMID: 30918518 PMCID: PMC6409055 DOI: 10.1155/2019/9683298] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2018] [Revised: 12/21/2018] [Accepted: 01/09/2019] [Indexed: 01/29/2023] Open
Abstract
Background The aim of this retrospective study was to compare the long-term survival of patients receiving conservative with surgical treatment to analyze the prognostic factors and the impact of surgery on oncological outcomes of patients with primary gastric diffuse large B-cell lymphoma. Methods A total of 2647 patients diagnosed with primary gastric diffuse large B-cell lymphoma from 1998 to 2014 were extracted from SEER database. Propensity matching was performed to compare the clinicopathological characteristics of the two groups. Based on the recursive partitioning analysis, the patients were divided into three risk subgroups: low risk, intermediate risk, and high risk. Results After propensity score matching, patient characteristics did not differ significantly between the two groups. The 5-year cancer-specific survival rates of the surgical group and the conservative treatment group were, respectively, 60% and 59.2% (P = 0.952) before propensity matching and 64.2% and 58.6% (P = 0.046) after propensity matching. According to the multivariate analysis, age, tumor stage, and chemotherapy and surgery were independent risk factors for long-term survival. The 5-year cancer-specific survival rates differed significantly between the low-risk, intermediate-risk, and high-risk patients (76.2% vs. 57.4% vs. 25.5%, respectively, P < 0.001). The 5-year cancer-specific survival rate of the surgical group was significantly higher than that of the conservative treatment group in the low-risk patients. However, it did not differ significantly in the intermediate-risk and high-risk patients (P > 0.05). Conclusions A prognostic model was constructed based on the independent risk factors of age, tumor stage, and chemotherapy. The prognostic model indicated that low-risk patients (age < 75 years, stage I/II, with/without chemotherapy) undergoing surgical treatment may benefit from long-term survival, while intermediate- and high-risk patients (age ≥ 75 years, stage I/II, with/without chemotherapy or III/IV patients, with/without chemotherapy) gain no significant benefit from surgery.
Collapse
|
12
|
Kraft J, Zindler J, Minniti G, Guckenberger M, Andratschke N. Stereotactic Radiosurgery for Multiple Brain Metastases. Curr Treat Options Neurol 2019; 21:6. [PMID: 30758726 DOI: 10.1007/s11940-019-0548-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
PURPOSE OF REVIEW To give an overview on the current evidence for stereotactic radiosurgery of brain metastases with a special focus on multiple brain metastases. RECENT FINDINGS While the use of stereotactic radiosurgery in patients with limited brain metastases has been clearly defined, its role in patients with multiple lesions (> 4) is still a matter of controversy. Whole-brain radiation therapy (WBRT) has been the standard treatment approach for patients with multiple brain lesions and is still the most commonly used treatment approach worldwide. Although distant brain failure is improved by WBRT, the overall survival is not readily impacted. As WBRT is associated with significant neurocognitive decline compared to stereotactic radiosurgery (SRS), SRS has been explored and increasingly utilized for selected patients with multiple brain metastases. Recent clinical data indicated the feasibility of stereotactic radiosurgery to multiple brain metastases with a similar survival in patients with more than 4 brain metastases versus patients with a maximum of 4 brain metastases. Also, neurocognitive function and quality of life was maintained after stereotactic radiosurgery which is essential in a palliative setting. The application of stereotactic radiosurgery with Gamma Knife, Cyberknife, or LINAC-based equipment has emerged as an effective and widely available treatment option for patients with limited brain metastases. Although not formally proven in prospective studies, SRS may also be considered as a safe and effective treatment option in selected patients with multiple brain metastases. Especially in patients with a favorable prognosis, survival over several years is observed also in the setting of multiple BM. For these patients, avoidance of the neurocognitive damage of WBRT is desirable, and SRS is often a more appropriate treatment in the current multimodality treatment of BM in which systemic treatment is often the cornerstone of the treatment. For patients with an intermediate (3-12 months) and poor prognosis (< 3 months), the application of WBRT becomes more and more controversial, because of its acute side effects, such as hair loss and fatigue and, thereby, detrimental effect on quality of life. For these patients, best supportive care, primary systemic treatment, and even SRS may be preferred over WBRT on an individualized patient basis.
Collapse
Affiliation(s)
- Johannes Kraft
- Department of Radiation Oncology, University Hospital of Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
| | - Jaap Zindler
- Erasmus MC Rotterdam/Holland Proton Therapy Center Delft, MAASTRO Clinic Maastricht, Maastricht, The Netherlands
| | - Giuseppe Minniti
- Radiation Oncology Unit, UPMC Hillman Cancer Center, San Pietro Hospital, Rome, Italy.,IRCCS Neuromed, Pozzilli, IS, Italy
| | - Matthias Guckenberger
- Department of Radiation Oncology, University Hospital of Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Nicolaus Andratschke
- Department of Radiation Oncology, University Hospital of Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| |
Collapse
|
13
|
Fritz C, Borsky K, Stark LS, Tanadini-Lang S, Kroeze SGC, Krayenbühl J, Guckenberger M, Andratschke N. Repeated Courses of Radiosurgery for New Brain Metastases to Defer Whole Brain Radiotherapy: Feasibility and Outcome With Validation of the New Prognostic Metric Brain Metastasis Velocity. Front Oncol 2018; 8:551. [PMID: 30524969 PMCID: PMC6262082 DOI: 10.3389/fonc.2018.00551] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 11/07/2018] [Indexed: 12/25/2022] Open
Abstract
Purpose: Stereotactic radiosurgery (SRS) is the preferred primary treatment option for patients with a limited number of asymptomatic brain metastases. In case of relapse after initial SRS the optimal salvage treatment is not well defined. Within this retrospective analysis, we investigated the feasibility of repeated courses of SRS to defer Whole-Brain Radiation Therapy (WBRT) and aimed to derive prognostic factors for patient selection. Materials and Methods: From 2014 until 2017, 42 patients with 197 brain metastases have been treated with multiple courses of SRS at our institution. Treatment was delivered as single fraction (18 or 20 Gy) or hypo-fractionated (6 fractions with 5 Gy) radiosurgery. Regular follow-up included clinical examination and contrast-enhanced cMRI at 3-4 months' intervals. Besides clinical and treatment related factors, brain metastasis velocity (BMV) as a newly described clinical prognostic metric was included and calculated between first and second treatment. Results: A median number of 1 lesion (range: 1-13) per course and a median of 2 courses (range: 2-6) per patient were administered resulting in a median of 4 (range: 2-14) metastases treated over time per patient. The median interval between SRS courses was 5.8 months (range: 0.9-35 months). With a median follow-up of 17.4 months (range: 4.6-45.5 months) after the first course of treatment, a local control rate of 84% was observed after 1 year and 67% after 2 years. Median time to out-of-field-brain-failure (OOFBF) was 7 months (95%CI 4-8 months). WBRT as a salvage treatment was eventually required in 7 patients (16.6%). Median overall survival (OS) has not been reached. Grouped by ds-GPA (≤ 2 vs. >2) the survival curves showed a significant split (p = 0.039). OS differed also significantly between BMV-risk groups when grouped into low vs. intermediate/high risk groups (p = 0.025). No grade 4 or 5 acute or late toxicity was observed. Conclusion: In selected patients with relapse after SRS for brain metastases, repeat courses of SRS were safe and minimized the need for rescue WBRT. The innovative, yet easy to calculate metric BMV may facilitate treatment decisions as a prognostic factor for OS.
Collapse
|
14
|
Frega S, Bonanno L, Guarneri V, Conte P, Pasello G. Therapeutic perspectives for brain metastases in non-oncogene addicted non-small cell lung cancer (NSCLC): Towards a less dismal future? Crit Rev Oncol Hematol 2018; 128:19-29. [DOI: 10.1016/j.critrevonc.2018.05.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Accepted: 05/14/2018] [Indexed: 12/16/2022] Open
|
15
|
Hartgerink D, van der Heijden B, De Ruysscher D, Postma A, Ackermans L, Hoeben A, Anten M, Lambin P, Terhaag K, Jochems A, Dekker A, Schoenmaekers J, Hendriks L, Zindler J. Stereotactic Radiosurgery in the Management of Patients With Brain Metastases of Non-Small Cell Lung Cancer: Indications, Decision Tools and Future Directions. Front Oncol 2018; 8:154. [PMID: 29868476 PMCID: PMC5954030 DOI: 10.3389/fonc.2018.00154] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Accepted: 04/24/2018] [Indexed: 12/18/2022] Open
Abstract
Brain metastases (BM) frequently occur in non-small cell lung cancer (NSCLC) patients. Most patients with BM have a limited life expectancy, measured in months. Selected patients may experience a very long progression-free survival, for example, patients with a targetable driver mutation. Traditionally, whole-brain radiotherapy (WBRT) has been the cornerstone of the treatment, but its indication is a matter of debate. A randomized trial has shown that for patients with a poor prognosis, WBRT does not add quality of life (QoL) nor survival over the best supportive care. In recent decades, stereotactic radiosurgery (SRS) has become an attractive non-invasive treatment for patients with BM. Only the BM is irradiated to an ablative dose, sparing healthy brain tissue. Intracranial recurrence rates decrease when WBRT is administered following SRS or resection but does not improve overall survival and comes at the expense of neurocognitive function and QoL. The downside of SRS compared with WBRT is a risk of radionecrosis (RN) and a higher risk of developing new BM during follow-up. Currently, SRS is an established treatment for patients with a maximum of four BM. Several promising strategies are currently being investigated to further improve the indication and outcome of SRS for patients with BM: the effectivity and safety of SRS in patients with more than four BM, combining SRS with systemic therapy such as targeted agents or immunotherapy, shared decision-making with SRS as a treatment option, and individualized isotoxic dose prescription to mitigate the risk of RN and further enhance local control probability of SRS. This review discusses the current indications of SRS and future directions of treatment for patients with BM of NSCLC with focus on the value of SRS.
Collapse
Affiliation(s)
- Dianne Hartgerink
- Department of Radiation Oncology (MAASTRO Clinic), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Britt van der Heijden
- Department of Radiation Oncology (MAASTRO Clinic), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Dirk De Ruysscher
- Department of Radiation Oncology (MAASTRO Clinic), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, Netherlands
- Proton Therapy Department South-East Netherlands (ZON-PTC), Maastricht, Netherlands
| | - Alida Postma
- Department of Radiology, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Linda Ackermans
- Department of Neurosurgery, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Ann Hoeben
- Department of Medical Oncology, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Monique Anten
- Department of Neurology, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Philippe Lambin
- Department of Radiation Oncology (MAASTRO Clinic), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Karin Terhaag
- Department of Radiation Oncology (MAASTRO Clinic), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Arthur Jochems
- Department of Radiation Oncology (MAASTRO Clinic), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Andre Dekker
- Department of Radiation Oncology (MAASTRO Clinic), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, Netherlands
- Proton Therapy Department South-East Netherlands (ZON-PTC), Maastricht, Netherlands
| | - Janna Schoenmaekers
- Department of Pulmonary Diseases, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Lizza Hendriks
- Department of Pulmonary Diseases, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Jaap Zindler
- Department of Radiation Oncology (MAASTRO Clinic), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, Netherlands
- Proton Therapy Department South-East Netherlands (ZON-PTC), Maastricht, Netherlands
| |
Collapse
|
16
|
Ulahannan D, Khalifa J, Faivre-Finn C, Lee SM. Emerging treatment paradigms for brain metastasis in non-small-cell lung cancer: an overview of the current landscape and challenges ahead. Ann Oncol 2018; 28:2923-2931. [PMID: 29045549 DOI: 10.1093/annonc/mdx481] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Advances in the last decade in genomic profiling and the identification of druggable targets amenable to biological agents have transformed the management and survival of a subgroup of patients with brain metastasis in non-small-cell lung cancer. In parallel, clinicians have reevaluated the role of whole brain radiotherapy in selected patients with brain metastases to reduce neurocognitive toxicity. Continual progress in this understudied field is required: optimization of the sequence of schedules for therapies in patients with brain metastases of differing genomic profiles, focusing on new strategies to overcome mechanisms of biological resistance and increasing drug penetrability into the central nervous system. This review summarizes the field to date and possible treatment strategies based on current evidence.
Collapse
Affiliation(s)
- D Ulahannan
- Department of Oncology, University College London Hospital, London, UK
| | - J Khalifa
- Department of Radiation Oncology, Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
| | - C Faivre-Finn
- Division of Cancer Sciences, Manchester Cancer Research Centre, University of Manchester, Manchester, UK.,CRUK Lung Cancer Centre of Excellence, Christie Hospital Manchester and University College London, UK
| | - S-M Lee
- Department of Oncology, University College London Hospital, London, UK.,CRUK Lung Cancer Centre of Excellence, Christie Hospital Manchester and University College London, UK
| |
Collapse
|
17
|
Nieder C, Mehta MP, Geinitz H, Grosu AL. Prognostic and predictive factors in patients with brain metastases from solid tumors: A review of published nomograms. Crit Rev Oncol Hematol 2018; 126:13-18. [PMID: 29759555 DOI: 10.1016/j.critrevonc.2018.03.018] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Revised: 01/19/2018] [Accepted: 03/25/2018] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE To review published nomograms that predict endpoints such as overall survival (OS) or risk of intracranial relapse in patients with brain metastases from solid tumors. METHODS The methods and results of nomogram studies identified by a systematic search were extracted and compared, stratified by endpoint predicted by the respective nomograms. In particular, validation strategies (external/internal), concordance indices (cut-off 0.75) and comparisons to older models were analyzed. RESULTS Six publications reported on prediction of OS. Most of these analyses focused on one particular primary tumor site, e.g., breast cancer or hepatocellular carcinoma, while the largest study included different primary tumor sites. The median number of patients was 244. Three of six studies included external validation cohorts. With few exceptions, concordance indices <0.75 were reported. In all studies reporting this endpoint, the nomogram outperformed older prognostic scores. Two nomograms focused on development of new brain metastases after radiosurgery (one externally validated), one on survival free from salvage whole brain radiotherapy (WBRT) after radiosurgery, and one on neurologic and non-neurologic death in patients receiving radiosurgery after WBRT failure. All concordance indices of these 4 nomograms were <0.70. CONCLUSION Taking into account concordance indices and comparisons to older prognostic models, the most promising, externally validated nomograms are the breast cancer and the non-small cell lung cancer nomogram predicting OS, and the distant brain failure after radiosurgery nomogram. Additional validation studies as well as continuous monitoring of the models' performance appear necessary to ensure their clinical applicability in the present era of rapidly changing treatment paradigms.
Collapse
Affiliation(s)
- Carsten Nieder
- Department of Oncology and Palliative Medicine, Nordland Hospital, 8092 Bodø, Norway; Department of Clinical Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway.
| | - Minesh P Mehta
- Department of Radiation Oncology, Miami Cancer Institute, Miami, FL, USA
| | - Hans Geinitz
- Department of Radiation Oncology, St. Vincent's Hospital, Linz, Austria
| | - Anca L Grosu
- Department of Radiation Oncology, University Medical Center, Medical Faculty, University of Freiburg, Germany; German Cancer Consortium (DKTK) Partner Site Freiburg, Germany
| |
Collapse
|
18
|
LeCompte MC, McTyre E, Henson A, Farris M, Okoukoni C, Cramer CK, Triozzi P, Ruiz J, Watabe K, Lo HW, Munley MT, Laxton AW, Tatter SB, Zhou X, Chan M. Survival and Failure Outcomes Predicted by Brain Metastasis Volumetric Kinetics in Melanoma Patients Following Upfront Treatment with Stereotactic Radiosurgery Alone. Cureus 2017; 9:e1934. [PMID: 29464141 PMCID: PMC5807024 DOI: 10.7759/cureus.1934] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Introduction The roles of early whole brain radiotherapy (WBRT) and upfront stereotactic radiosurgery (SRS) alone in the treatment of melanoma patients with brain metastasis remain uncertain. We investigated the volumetric kinetics of brain metastasis development and associations with clinical outcomes for melanoma patients who received upfront SRS alone. Methods Volumetric brain metastasis velocity (vBMV) was defined as the volume of new intracranial disease at the time of distant brain failure (DBF) for the first DBF (DBF1) and second DBF (DBF2) averaged over the time since initial or most recent SRS. Non-volumetric brain metastasis velocity (BMV) was calculated for comparison. Results Median overall survival (OS) for all patients was 7.7 months. Increasing vBMVDBF1 was associated with worsened OS (hazard ratio (HR): 1.10, confidence interval (CI): 1.02 - 1.18, p = .01). Non-volumetric BMVDBF1 was not predictive of OS after DBF1 (HR: 1.00, CI: 0.97 - 1.02, p = .77). Cumulative incidence of DBF2 at three months after DBF1 was 50.0% for vBMVDBF1 > 4 cc/yr versus (vs) 15.1% for vBMVDBF1 ≤ 4 cc/yr, (Gray’s p-value = .02). Cumulative incidence of salvage WBRT at three months after DBF1 was 50.0% for vBMVDBF1 > 4 cc/yr vs 2.3% for vBMVDBF1 ≤ 4 cc/yr (Gray’s p-value < .001). Conclusion In melanoma patients with brain metastasis, volumetric BMV was predictive of survival, shorter time to second DBF, and the need for salvage WBRT. Non-volumetric BMV, however, did not predict for these outcomes, suggesting that vBMV is a stronger predictor in melanoma.
Collapse
Affiliation(s)
| | - Emory McTyre
- Department of Radiation Oncology, Wake Forest School of Medicine
| | - Adrianna Henson
- Department of Radiation Oncology, Wake Forest School of Medicine
| | - Michael Farris
- Department of Radiation Oncology, Wake Forest School of Medicine
| | | | | | - Pierre Triozzi
- Department of Medicine (hematology & Oncology), Wake Forest School of Medicine
| | - Jimmy Ruiz
- Department of Medicine (hematology & Oncology), Wake Forest School of Medicine
| | | | - Hui-Wen Lo
- Department of Cancer Biology, Wake Forest School of Medicine
| | - Michael T Munley
- Department of Radiation Oncology, Wake Forest School of Medicine
| | | | | | - Xiaobo Zhou
- Center for Bioinformatics & Systems Biology, Wake Forest School of Medicine
| | - Michael Chan
- Department of Radiation Oncology, Wake Forest University
| |
Collapse
|
19
|
External validity of two nomograms for predicting distant brain failure after radiosurgery for brain metastases in a bi-institutional independent patient cohort. J Neurooncol 2017; 137:147-154. [PMID: 29218431 DOI: 10.1007/s11060-017-2707-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Accepted: 12/04/2017] [Indexed: 10/18/2022]
Abstract
Patients treated with stereotactic radiosurgery (SRS) for brain metastases (BM) are at increased risk of distant brain failure (DBF). Two nomograms have been recently published to predict individualized risk of DBF after SRS. The goal of this study was to assess the external validity of these nomograms in an independent patient cohort. The records of consecutive patients with BM treated with SRS at Levine Cancer Institute and Emory University between 2005 and 2013 were reviewed. Three validation cohorts were generated based on the specific nomogram or recursive partitioning analysis (RPA) entry criteria: Wake Forest nomogram (n = 281), Canadian nomogram (n = 282), and Canadian RPA (n = 303) validation cohorts. Freedom from DBF at 1-year in the Wake Forest study was 30% compared with 50% in the validation cohort. The validation c-index for both the 6-month and 9-month freedom from DBF Wake Forest nomograms was 0.55, indicating poor discrimination ability, and the goodness-of-fit test for both nomograms was highly significant (p < 0.001), indicating poor calibration. The 1-year actuarial DBF in the Canadian nomogram study was 43.9% compared with 50.9% in the validation cohort. The validation c-index for the Canadian 1-year DBF nomogram was 0.56, and the goodness-of-fit test was also highly significant (p < 0.001). The validation accuracy and c-index of the Canadian RPA classification was 53% and 0.61, respectively. The Wake Forest and Canadian nomograms for predicting risk of DBF after SRS were found to have limited predictive ability in an independent bi-institutional validation cohort. These results reinforce the importance of validating predictive models in independent patient cohorts.
Collapse
|
20
|
Ayala-Peacock DN, Attia A, Braunstein SE, Ahluwalia MS, Hepel J, Chung C, Contessa J, McTyre E, Peiffer AM, Lucas JT, Isom S, Pajewski NM, Kotecha R, Stavas MJ, Page BR, Kleinberg L, Shen C, Taylor RB, Onyeuku NE, Hyde AT, Gorovets D, Chao ST, Corso C, Ruiz J, Watabe K, Tatter SB, Zadeh G, Chiang VLS, Fiveash JB, Chan MD. Prediction of new brain metastases after radiosurgery: validation and analysis of performance of a multi-institutional nomogram. J Neurooncol 2017; 135:403-411. [PMID: 28828698 DOI: 10.1007/s11060-017-2588-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Accepted: 07/23/2017] [Indexed: 11/27/2022]
Abstract
Stereotactic radiosurgery (SRS) without whole brain radiotherapy (WBRT) for brain metastases can avoid WBRT toxicities, but with risk of subsequent distant brain failure (DBF). Sole use of number of metastases to triage patients may be an unrefined method. Data on 1354 patients treated with SRS monotherapy from 2000 to 2013 for new brain metastases was collected across eight academic centers. The cohort was divided into training and validation datasets and a prognostic model was developed for time to DBF. We then evaluated the discrimination and calibration of the model within the validation dataset, and confirmed its performance with an independent contemporary cohort. Number of metastases (≥8, HR 3.53 p = 0.0001), minimum margin dose (HR 1.07 p = 0.0033), and melanoma histology (HR 1.45, p = 0.0187) were associated with DBF. A prognostic index derived from the training dataset exhibited ability to discriminate patients' DBF risk within the validation dataset (c-index = 0.631) and Heller's explained relative risk (HERR) = 0.173 (SE = 0.048). Absolute number of metastases was evaluated for its ability to predict DBF in the derivation and validation datasets, and was inferior to the nomogram. A nomogram high-risk threshold yielding a 2.1-fold increased need for early WBRT was identified. Nomogram values also correlated to number of brain metastases at time of failure (r = 0.38, p < 0.0001). We present a multi-institutionally validated prognostic model and nomogram to predict risk of DBF and guide risk-stratification of patients who are appropriate candidates for radiosurgery versus upfront WBRT.
Collapse
Affiliation(s)
- Diandra N Ayala-Peacock
- Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
- Department of Radiation Oncology, Vanderbilt University School of Medicine, Nashville, TN, USA.
| | - Albert Attia
- Department of Radiation Oncology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Steve E Braunstein
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
| | - Manmeet S Ahluwalia
- Brain Tumor and Neuro-Oncology Center, Neurological Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Jaroslaw Hepel
- Department of Radiation Oncology, Brown University Alpert Medical School, Providence, RI, USA
| | - Caroline Chung
- Department of Radiation Oncology, Princess Margaret Cancer Center, Toronto, ON, Canada
- Department of Radiation Oncology, MD Anderson Cancer Center, Houston, TX, USA
| | - Joseph Contessa
- Department of Therapeutic Radiology/Radiation Oncology, Yale University School of Medicine, New Haven, CT, USA
| | - Emory McTyre
- Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Ann M Peiffer
- Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - John T Lucas
- Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Scott Isom
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Nicholas M Pajewski
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Rupesh Kotecha
- Brain Tumor and Neuro-Oncology Center, Neurological Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Mark J Stavas
- Department of Radiation Oncology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Brandi R Page
- Department of Radiation Oncology, Johns Hopkins University, Baltimore, MD, USA
| | - Lawrence Kleinberg
- Department of Radiation Oncology, Johns Hopkins University, Baltimore, MD, USA
| | - Colette Shen
- Department of Radiation Oncology, Johns Hopkins University, Baltimore, MD, USA
| | - Robert B Taylor
- Department of Radiation Oncology, University of Alabama-Birmingham, Birmingham, AL, USA
| | - Nasarachi E Onyeuku
- Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Andrew T Hyde
- Department of Radiation Oncology, University of Alabama-Birmingham, Birmingham, AL, USA
| | - Daniel Gorovets
- Department of Radiation Oncology, Brown University Alpert Medical School, Providence, RI, USA
| | - Samuel T Chao
- Brain Tumor and Neuro-Oncology Center, Neurological Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Christopher Corso
- Department of Therapeutic Radiology/Radiation Oncology, Yale University School of Medicine, New Haven, CT, USA
| | - Jimmy Ruiz
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Kounosuke Watabe
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Stephen B Tatter
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Gelareh Zadeh
- Division of Neurosurgery, University of Toronto, Toronto, ON, Canada
| | - Veronica L S Chiang
- Department of Therapeutic Radiology/Radiation Oncology, Yale University School of Medicine, New Haven, CT, USA
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - John B Fiveash
- Department of Radiation Oncology, University of Alabama-Birmingham, Birmingham, AL, USA
| | - Michael D Chan
- Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| |
Collapse
|
21
|
External Validity of a Risk Stratification Score Predicting Early Distant Brain Failure and Salvage Whole Brain Radiation Therapy After Stereotactic Radiosurgery for Brain Metastases. Int J Radiat Oncol Biol Phys 2017; 98:632-638. [PMID: 28581405 DOI: 10.1016/j.ijrobp.2017.03.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Revised: 12/15/2016] [Accepted: 03/07/2017] [Indexed: 11/21/2022]
Abstract
BACKGROUND A scoring system using pretreatment factors was recently published for predicting the risk of early (≤6 months) distant brain failure (DBF) and salvage whole brain radiation therapy (WBRT) after stereotactic radiosurgery (SRS) alone. Four risk factors were identified: (1) lack of prior WBRT; (2) melanoma or breast histologic features; (3) multiple brain metastases; and (4) total volume of brain metastases <1.3 cm3, with each factor assigned 1 point. The purpose of this study was to assess the validity of this scoring system and its appropriateness for clinical use in an independent external patient population. METHODS We reviewed the records of 247 patients with 388 brain metastases treated with SRS between 2010 at 2013 at Levine Cancer Institute. The Press (Emory) risk score was calculated and applied to the validation cohort population, and subsequent risk groups were analyzed using cumulative incidence. RESULTS The low-risk (LR) group had a significantly lower risk of early DBF than did the high-risk (HR) group (22.6% vs 44%, P=.004), but there was no difference between the HR and intermediate-risk (IR) groups (41.2% vs 44%, P=.79). Total lesion volume <1.3 cm3 (P=.004), malignant melanoma (P=.007), and multiple metastases (P<.001) were validated as predictors for early DBF. Prior WBRT and breast cancer histologic features did not retain prognostic significance. Risk stratification for risk of early salvage WBRT were similar, with a trend toward an increased risk for HR compared with LR (P=.09) but no difference between IR and HR (P=.53). CONCLUSION The 3-level Emory risk score was shown to not be externally valid, but the model was able to stratify between 2 levels (LR and not-LR [combined IR and HR]) for early (≤6 months) DBF. These results reinforce the importance of validating predictive models in independent cohorts. Further refinement of this scoring system with molecular information and in additional contemporary patient populations is warranted.
Collapse
|
22
|
Farris M, McTyre ER, Cramer CK, Hughes R, Randolph DM, Ayala-Peacock DN, Bourland JD, Ruiz J, Watabe K, Laxton AW, Tatter SB, Zhou X, Chan MD. Brain Metastasis Velocity: A Novel Prognostic Metric Predictive of Overall Survival and Freedom From Whole-Brain Radiation Therapy After Distant Brain Failure Following Upfront Radiosurgery Alone. Int J Radiat Oncol Biol Phys 2017; 98:131-141. [DOI: 10.1016/j.ijrobp.2017.01.201] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2016] [Revised: 01/12/2017] [Accepted: 01/17/2017] [Indexed: 10/20/2022]
|
23
|
Multi-institutional Nomogram Predicting Survival Free From Salvage Whole Brain Radiation After Radiosurgery in Patients With Brain Metastases. Int J Radiat Oncol Biol Phys 2017; 97:246-253. [DOI: 10.1016/j.ijrobp.2016.09.043] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Revised: 09/08/2016] [Accepted: 09/27/2016] [Indexed: 01/23/2023]
|
24
|
Rae A, Gorovets D, Rava P, Ebner D, Cielo D, Kinsella TJ, DiPetrillo TA, Hepel JT. Management approach for recurrent brain metastases following upfront radiosurgery may affect risk of subsequent radiation necrosis. Adv Radiat Oncol 2016; 1:294-299. [PMID: 28740900 PMCID: PMC5514163 DOI: 10.1016/j.adro.2016.08.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2016] [Revised: 07/07/2016] [Accepted: 08/14/2016] [Indexed: 11/26/2022] Open
Abstract
Purpose Many patients treated with stereotactic radiosurgery (SRS) alone as initial treatment require 1 or more subsequent salvage therapies. This study aimed to determine if commonly used salvage strategies are associated with differing risks of radiation necrosis (RN). Methods and materials All patients treated with upfront SRS alone for brain metastases at our institution were retrospectively analyzed. Salvage treatment details were obtained for brain failures. Patients who underwent repeat SRS to the same lesion were excluded. RN was determined based on pathological confirmation or advanced brain imaging consistent with RN in a symptomatic patient. Patients were grouped according to salvage treatment and rates of RN were compared via Fisher's exact tests. Results Of 284 patients treated with upfront SRS alone, 132 received salvage therapy and 44 received multiple salvage treatments. This included 31 repeat SRS alone, 58 whole brain radiation therapy (WBRT) alone, 28 SRS and WBRT, 7 surgery alone, and 8 surgery with adjuvant radiation. With a median follow-up of 10 months, the rate of RN among all patients was 3.17% (9/284), salvaged patients 4.55% (6/132), and never salvaged patients 1.97% (3/152). Receiving salvage therapy did not significantly increase RN risk (P = .31). Of the patients requiring salvage treatments, the highest RN rate was among patients that had both salvage SRS and WBRT (delivered as separate salvage therapies) (6/28, 21.42%). RN rate in this group was significantly higher than in those treated with repeat SRS alone (0/31), WBRT alone (0/58), surgery alone (0/7), and surgery with adjuvant radiation (0/8). Comparing salvage WBRT doses <30 Gy versus ≥30 Gy revealed no effect of dose on RN rate. Additionally, among patients who received multiple SRS treatments, number of treated lesions was not predictive of RN incidence. Conclusion Our results suggest that initial management approach for recurrent brain metastasis after upfront SRS does not affect the rate of RN. However, the risk of RN significantly increases when patients are treated with both repeat SRS and salvage WBRT. Methods to improve prediction of toxicity and optimize patient selection for salvage treatments are needed.
Collapse
Affiliation(s)
- Ali Rae
- Warren Alpert Medical School of Brown University, Providence, RI
| | - Daniel Gorovets
- Department of Radiation Oncology, Rhode Island Hospital, Brown University, Providence, RI.,Department of Radiation Oncology, Tufts Medical Center, Tufts University, Boston, MA
| | - Paul Rava
- Department of Radiation Oncology, Memorial Cancer Center, University of Massachusetts, Worcester, MA
| | - Daniel Ebner
- Warren Alpert Medical School of Brown University, Providence, RI
| | - Deus Cielo
- Department of Neurosurgery, Rhode Island Hospital, Brown University, Providence, RI
| | - Timothy J Kinsella
- Department of Radiation Oncology, Rhode Island Hospital, Brown University, Providence, RI.,Department of Radiation Oncology, Tufts Medical Center, Tufts University, Boston, MA
| | - Thomas A DiPetrillo
- Department of Radiation Oncology, Rhode Island Hospital, Brown University, Providence, RI.,Department of Radiation Oncology, Tufts Medical Center, Tufts University, Boston, MA
| | - Jaroslaw T Hepel
- Department of Radiation Oncology, Rhode Island Hospital, Brown University, Providence, RI.,Department of Radiation Oncology, Tufts Medical Center, Tufts University, Boston, MA
| |
Collapse
|
25
|
Hruby GW, Rasmussen LV, Hanauer D, Patel VL, Cimino JJ, Weng C. A multi-site cognitive task analysis for biomedical query mediation. Int J Med Inform 2016; 93:74-84. [PMID: 27435950 DOI: 10.1016/j.ijmedinf.2016.06.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2016] [Revised: 06/08/2016] [Accepted: 06/09/2016] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To apply cognitive task analyses of the Biomedical query mediation (BQM) processes for EHR data retrieval at multiple sites towards the development of a generic BQM process model. MATERIALS AND METHODS We conducted semi-structured interviews with eleven data analysts from five academic institutions and one government agency, and performed cognitive task analyses on their BQM processes. A coding schema was developed through iterative refinement and used to annotate the interview transcripts. The annotated dataset was used to reconstruct and verify each BQM process and to develop a harmonized BQM process model. A survey was conducted to evaluate the face and content validity of this harmonized model. RESULTS The harmonized process model is hierarchical, encompassing tasks, activities, and steps. The face validity evaluation concluded the model to be representative of the BQM process. In the content validity evaluation, out of the 27 tasks for BQM, 19 meet the threshold for semi-valid, including 3 fully valid: "Identify potential index phenotype," "If needed, request EHR database access rights," and "Perform query and present output to medical researcher", and 8 are invalid. DISCUSSION We aligned the goals of the tasks within the BQM model with the five components of the reference interview. The similarity between the process of BQM and the reference interview is promising and suggests the BQM tasks are powerful for eliciting implicit information needs. CONCLUSIONS We contribute a BQM process model based on a multi-site study. This model promises to inform the standardization of the BQM process towards improved communication efficiency and accuracy.
Collapse
Affiliation(s)
- Gregory W Hruby
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
| | - Luke V Rasmussen
- Division of Health and Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - David Hanauer
- Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA; School of Information, University of Michigan, Ann Arbor, MI, USA
| | - Vimla L Patel
- Department of Biomedical Informatics, Columbia University, New York, NY, USA; The New York Academy of Medicine, New York, NY, USA
| | - James J Cimino
- Department of Biomedical Informatics, Columbia University, New York, NY, USA; Informatics Institute in School of Medicine, University of Alabama, Birmingham, AL, USA
| | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University, New York, NY, USA.
| |
Collapse
|
26
|
Press RH, Prabhu RS, Nickleach DC, Liu Y, Shu HKG, Kandula S, Patel KR, Curran WJ, Crocker I. Novel risk stratification score for predicting early distant brain failure and salvage whole-brain radiotherapy after stereotactic radiosurgery for brain metastases. Cancer 2015; 121:3836-43. [PMID: 26242475 DOI: 10.1002/cncr.29590] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2015] [Revised: 05/27/2015] [Accepted: 06/25/2015] [Indexed: 11/05/2022]
Abstract
BACKGROUND The purpose of this study was to evaluate predictors of early distant brain failure (DBF) and salvage whole-brain radiotherapy (WBRT) after treatment with stereotactic radiosurgery (SRS) for brain metastases and create a clinically relevant risk score to stratify patients' risk for these events. METHODS The records of 270 patients with brain metastases who were treated with SRS between 2003 and 2012 were reviewed. Pretreatment patient and tumor characteristics were analyzed with univariate and multivariate analyses. The cumulative incidences of first DBF and salvage WBRT were calculated. Significant factors were used to create a score for stratifying early (6-month) DBF risk. RESULTS No prior WBRT, a total lesion volume < 1.3 cm(3), primary breast cancer or malignant melanoma histology, and multiple metastases (≥2) were found to be significant predictors of early DBF. Each factor was ascribed 1 point because of similar hazard ratios. Scores of 0 to 1, 2, and 3 to 4 were considered to indicate low, intermediate, and high risk, respectively. This correlated with 6-month cumulative incidences of DBF of 16.6%, 28.8%, and 54.4%, respectively (P < .001). For patients without prior WBRT, the 6-month cumulative incidence of salvage WBRT was 2%, 17.7%, and 25.7%, respectively (P < .001). CONCLUSIONS Early DBF after SRS requiring salvage WBRT remains a significant clinical problem. Patient stratification for early DBF can better inform the decision for the initial treatment strategy for brain metastases. The provided risk score may help to predict early DBF and subsequent salvage WBRT if SRS is initially used. External validation is needed before clinical implementation.
Collapse
Affiliation(s)
- Robert H Press
- Department of Radiation Oncology, Emory University, Atlanta, Georgia.,Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Roshan S Prabhu
- Southeast Radiation Oncology Group, Levine Cancer Institute, Carolinas Healthcare System, Charlotte, North Carolina
| | - Dana C Nickleach
- Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Yuan Liu
- Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Hui-Kuo G Shu
- Department of Radiation Oncology, Emory University, Atlanta, Georgia.,Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Shravan Kandula
- Department of Radiation Oncology, Emory University, Atlanta, Georgia.,Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Kirtesh R Patel
- Department of Radiation Oncology, Emory University, Atlanta, Georgia.,Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Walter J Curran
- Department of Radiation Oncology, Emory University, Atlanta, Georgia.,Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Ian Crocker
- Department of Radiation Oncology, Emory University, Atlanta, Georgia.,Winship Cancer Institute, Emory University, Atlanta, Georgia
| |
Collapse
|
27
|
Salvage whole brain radiotherapy or stereotactic radiosurgery after initial stereotactic radiosurgery for 1–4 brain metastases. J Neurooncol 2015; 124:429-37. [DOI: 10.1007/s11060-015-1855-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2015] [Accepted: 06/21/2015] [Indexed: 11/27/2022]
|
28
|
Abstract
Lymph node ratio (LNR) is a powerful prognostic factor for breast cancer. We conducted a recursive partitioning analysis (RPA) of the LNR to identify the prognostic risk groups in breast cancer patients. Records of newly diagnosed breast cancer patients between 2002 and 2006 were searched in the Taiwan Cancer Database. The end of follow-up was December 31, 2009. We excluded patients with distant metastases, inflammatory breast cancer, survival <1 month, no mastectomy, or missing lymph node status. Primary outcome was 5-year overall survival (OS). For univariate significant predictors, RPA were used to determine the risk groups. Among the 11,349 eligible patients, we identified 4 prognostic factors (including LNR) for survival, resulting in 8 terminal nodes. The LNR cutoffs were 0.038, 0.259, and 0.738, which divided LNR into 4 categories: very low (LNR ≤ 0.038), low (0.038 < LNR ≤ 0.259), moderate (0.259 < LNR ≤ 0.738), and high (0.738 < LNR). Then, 4 risk groups were determined as follows: Class 1 (very low risk, 8,265 patients), Class 2 (low risk, 1,901 patients), Class 3 (moderate risk, 274 patients), and Class 4 (high risk, 900 patients). The 5-year OS for Class 1, 2, 3, and 4 were 93.2%, 83.1%, 72.3%, and 56.9%, respectively (P< 0.001). The hazard ratio of death was 2.70, 4.52, and 8.59 (95% confidence interval 2.32-3.13, 3.49-5.86, and 7.48-9.88, respectively) times for Class 2, 3, and 4 compared with Class 1 (P < 0.001). In conclusion, we identified the optimal cutoff LNR values based on RPA and determined the related risk groups, which successfully predict 5-year OS in breast cancer patients.
Collapse
Affiliation(s)
- Yao-Jen Chang
- From the Department of Surgery (Yao-Jen Chang), Taipei Branch, Buddhist Tzu Chi General Hospital; Graduate Institute of Health Policy and Management (K-PC, L-JC), College of Public Health, National Taiwan University; Department of Ophthalmology (L-JC), HepingFuyou Branch; Department of General Surgery (Yun-Jau Chang), Zhong-Xing Branch, Taipei City Hospital; and Department of General Surgery (Yun-Jau Chang), National Taiwan University Hospital, Taipei, Taiwan
| | | | | | | |
Collapse
|
29
|
Huttenlocher S, Dziggel L, Hornung D, Blanck O, Schild SE, Rades D. A new prognostic instrument to predict the probability of developing new cerebral metastases after radiosurgery alone. Radiat Oncol 2014; 9:215. [PMID: 25240823 PMCID: PMC4262235 DOI: 10.1186/1748-717x-9-215] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2014] [Accepted: 09/16/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Addition of whole-brain irradiation (WBI) to radiosurgery for treatment of few cerebral metastases is controversial. This study aimed to create an instrument that estimates the probability of developing new cerebral metastases after radiosurgery to facilitate the decision regarding additional WBI. METHODS Nine characteristics were investigated for associations with the development of new cerebral metastases including radiosurgery dose (dose equivalent to <20 Gy vs. 20 Gy vs. >20 Gy for tumor cell kill, prescribed to the 73-90% isodose level), age (≤60 vs. ≥61 years), gender, Eastern Cooperative Oncology Group performance score (0-1 vs. 2), primary tumor type (breast cancer vs. non-small lung cancer vs. malignant melanoma vs. others), number/size of cerebral metastases (1 lesion <15 mm vs. 1 lesion ≥15 mm vs. 2 or 3 lesions), location of the cerebral metastases (supratentorial alone vs. infratentorial ± supratentorial), extra-cerebra metastases (no vs. yes) and time between first diagnosis of the primary tumor and radiosurgery (≤15 vs. >15 months). RESULTS Number of cerebral metastases (p = 0.002), primary tumor type (p = 0.10) and extra-cerebral metastases (p = 0.06) showed significant associations with development of new cerebral metastases or a trend, and were integrated into the predictive instrument. Scoring points were calculated from 6-months freedom from new cerebral metastases rates. Three groups were formed, group I (16-17 points, N = 47), group II (18-20 points, N = 120) and group III (21-22 points, N = 47). Six-month rates of freedom from new cerebral metastases were 36%, 65% and 80%, respectively (p < 0.001). Corresponding rates at 12 months were 27%, 44% and 71%, respectively. CONCLUSION This new instrument enables the physician to estimate the probability of developing new cerebral metastases after radiosurgery alone. Patients of groups I and II appear good candidates for additional WBI in addition to radiosurgery, whereas patients of group III may not require WBI in addition to radiosurgery.
Collapse
Affiliation(s)
| | | | | | | | | | - Dirk Rades
- Department of Radiation Oncology, University of Lübeck, Ratzeburger Allee 160, Lübeck 23538, Germany.
| |
Collapse
|